# BGGM 2.1.3

- Replaced dprecated armadillo function
`conv_to<>::from`

with `as_scalar`

`prior_sd`

: Adjusted computation of delta. Also, changed
default value for estimation: sqrt(1/3) resulting in delta = 2. For
model testing default is more tight, at `sigma_sd`

= 0.5,
resulting in delta = 3.
`prior_sd`

is now limited to range 0 – sqrt(1/2)

# BGGM 2.1.2

- The prior_sd (or rho_sd in var_estimate() ) is limited to ranges
between 0 and sqrt(1/8). These values ensure that delta does not go
below 1.
*Critical*: select() did not return partial correlations, but
Fisher-z values in summary(). Fisher values are transformed back to
correlation metric. This fixes #90, see changes.
- Upgraded deprecated ggplot guides() argument
- Resolved non positive definite initialization matrix in wishrnd() in
copula models when NA’s are present in observed variables (fixes #89).
See changes here

# BGGM 2.1.1

BFpack dependency error fixed.

# BGGM 2.0.1

This version of BGGM included changes based on the JOSS reviews: see
here
for the overview and here
for specific issues.

# BGGM 2.0.0

**BGGM** was almost completely rewritten for version
`2.0.0`

. This was due to adding support for binary, ordinal,
and mixed data, which required that the methods be written in
`c ++`

. Unfortunately, as a result, lots of code from version
`1.0.0`

is broken.

## Added features

Full support for binary, ordinal, and mixed data. This is
implemented with the argument `type`

`roll_your_own`

: compute custom network statistics
from a weighted adjacency matrix or a partial correlation
matrix

`pcor_to_cor`

: convert the sampled partial correlation
matrices into correlation matrices.

`zero_order_cors`

: compute zero order
correlations

`convergence`

: acf and trace plots

`posterior_samples`

: extract posterior
samples

`regression_summary`

: summarize multivariate
regression

`pcor_sum`

: Compute and compare partial correlation
sums

`weighted_adj_mat`

: Extract the Weighted Adjacency
Matrix

`pcor_mat`

: Extract the Partial Correlation
Matrix

Five additional data sets were added.

## Extensions

`ggm_compare_ppc`

: added option for custom network
statistics

Added option to control for variables with
`formula`

A progress bar was added to many functions

# BGGM 1.0.0

Initial CRAN release